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Activity Number: 230 - Recent Advances in Nonexchangeable, Dependent, Random Partition and Feature Allocation Models
Type: Topic Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: International Society for Bayesian Analysis (ISBA)
Abstract #329397 Presentation
Title: Recent Advances in Dependent Random Partition Models
Author(s): Garritt L Page* and Fernando Quintana
Companies: Brigham Young University and Pontificia Universidad Catolica De Chile
Keywords: spatial dependence; nonparametric Bayes; clustering

Incorporating information in random partition distributions beyond that which is contained in the parititon (i.e., cluster size) has recieved considerable interest. We present some recent results with focus placed on partitions with co-clustering probabilities that depend on space and time. Our approach is to jointly model a collection of spatially referenced partitions so that they evolve smoothly over time.

Authors who are presenting talks have a * after their name.

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